Abstract: Graph neural networks (GNNs) over the air (AirGNNs) has shown significant potential for efficiently training distributed GNN models by aggregating the feature representations based on the ...
Abstract: Control flow graph models program execution paths and is essential for program analysis and compiler optimizations. Compilers traverse thousands of graphs during compilation, thus, efficient ...
This repository provides a complete testing and execution environment for graph algorithm programming assignments. Students implement core algorithms while the infrastructure handles graph loading, ...